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Based on our record, Amazon Inferentia should be more popular than Studio 3T. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Studio 3T, formerly known as RoboMongo and Robo 3T, is an open-source GUI client for MongoDB. The application is available for Linux, Mac, and Windows. - Source: dev.to / 5 months ago
You can go to MongoDB Compass website or use this command brew install — cask mongodb-compass to install it. For alternatives, you can use Studio 3T. - Source: dev.to / about 1 year ago
Studio 3T is an extremely easy to use 3rd party GUI for interacting with your MongoDB data. - Source: dev.to / almost 2 years ago
Studio 3T, formerly MongoChef, is the robust, professional version of Robo 3T owned by the same parent company, 3T Software Labs. Studio 3T is more than just a MongoDB GUI: it’s also an IDE and client. There is no free version of this software (unless you count Robo 3T), and the Core pricing level starts at $149/year per user. Even then, the Core level lacks features that pricier ones have, like SQL import/export,... - Source: dev.to / about 3 years ago
> Here it says they're going to use Amazon's chips for training and inference, but...Amazon doesn't have its own chips yet??? Amazon has had its own chips for years. https://aws.amazon.com/machine-learning/inferentia/ https://aws.amazon.com/machine-learning/trainium/. - Source: Hacker News / 2 months ago
No idea if it's any good or not, but Amazon has their own "Inferentia" chips. https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 2 months ago
You can use them today on AWS. [0] https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / about 1 year ago
Amazon has their own TPU equivalents for training and inference: https://aws.amazon.com/machine-learning/trainium/ https://aws.amazon.com/machine-learning/inferentia/ But, I really don't think this would be a limiting factor regardless. It's not as if an Amazon or Microsoft sized company is incapable of developing custom silicon to meet an objective, once an objective is identified. - Source: Hacker News / over 1 year ago
You are mistaken. See https://en.m.wikipedia.org/wiki/Annapurna_Labs and some of their work (specialized chips similar to Google’s TPU): https://aws.amazon.com/machine-learning/inferentia/. Source: over 1 year ago
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